Blog
Explore AIPOCH Open-Science product updates, research workflows, and practical insights for reproducible AI-assisted scientific research.
AIPOCH Open-Science Reaches 69.05% in a Local Terminal-Bench-Science 0.1 Evaluation
AIPOCH Open-Science reports 145 successful runs out of 210 on Terminal-Bench-Science 0.1. Read the result, the dated leaderboard comparison, and the limits of a local evaluation.
Latest Articles
Browse the latest updates, research notes, and changelogs from the AIPOCH Open-Science team.
Project Suncatcher: Where Does the Heat Go? An AIPOCH Open-Science Case
Explore how environmental heating changes the radiator area needed to reject a fixed 1 kW heat load in an AIPOCH Open-Science study inspired by Project Suncatcher.
Amazon Deforestation: Why Less Tree-Cover Loss Can Mean a Higher Percentage | AIPOCH Open-Science
Explore an Amazon deforestation case near Iberia, Peru: see why a stricter canopy cutoff reduces mapped tree-cover loss in hectares but raises its baseline share.
Reproducing Chinchilla Scaling: Data, Fit, Bootstrap, and Limits
Inspect an AIPOCH Open-Science .science package that refits Chinchilla's Approach 3, tests optimizer-sensitive uncertainty, and traces how five observations change compute allocation.
AIPOCH Open-Science v1.2.1: Organize Resources and Research Workflows
AIPOCH Open-Science v1.2.1 brings a unified Resource Center, project prompt optimization, broader Agent access, compact exports, and reliability fixes.
AIPOCH Open-Science Reports 0.7467 on 25 DiscoveryBench Validation Tasks
In a local evaluation of data-driven discovery, AIPOCH Open-Science received a reported mean final score of 0.7467 across 25 selected validation tasks. The result is not an official leaderboard submission or rank.
Lyra 2.0 in AIPOCH Open-Science: When Higher Subjective Quality Comes With Lower Camera Control
Explore the Lyra 2.0 ablation in AIPOCH Open-Science. Trace seven metric changes and the reprojection error that changes a comparison.
AIPOCH Open-Science Answers 36 of 37 CORE-Bench-Hard Tasks in a Local Evaluation
AIPOCH Open-Science reports 36 of 37 CORE-Bench-Hard tasks correct in a local AstaBench evaluation. Learn what the result measures and why it is not an official leaderboard rank.
Open-Science v1.2.0: Run Approved Jobs on More Backends and Discuss Imported Research at Any Step
Open-Science v1.2.0 adds approved jobs on Kubernetes, Hugging Face Jobs, Modal, and Ray, a default built-in agent, and step-linked discussions.
Kimi K3.1 Pro Open Weights: Can I Run It on My Computer?
See how AIPOCH Open-Science used the Moonshot file list to estimate disk space and download time before attempting to run Kimi K3.1 Pro on a home computer.